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Bioeconomy
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Chemistry and Materials
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Digital World and Robotics
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Energy and Environment
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Societal and economic transition & Risk management
Eco-processes, optimization and decision making (EPROAD)
Research unit - UR 4669
EPROAD is a multidisciplinary research unit based on the federation of scientific related to applied mathematics, computer science, health, product engineering and decision making. The unit is recognized by the MESRI (Ministry of Higher Education, Research and Innovation) in the field of ICST (Information and Communication Sciences and Technologies) at the interface with ES (Engineering Sciences).
Objectives of our research work revolve around the optimization of the management of industrial ecosystems, analogue modelling of industrial phenomena, implementation of high-performance models and methods for computer networks and telecommunications, predictive models and approaches in the health sector relating to the care system, and decision making.
The original features and strengths are based upon the federation of several competences related to different sections of the Conseil National des Universités –CNU– (National University Council), namely sections 27, 44, 52, 60, 61 and 62.
The members are included into two vertical teams (Operations Research and Decision –ROD–, and Materials and Process Engineering –IMaP–), and they participate to a common transversal axis (Valorization and Industrial Transformations –VTI–).
The aforementioned federation favors multidisciplinary research and allows to enrich the transversal research works regarding the fundamental research coming from both vertical teams of EPROAD, and to emphasize research and innovation in specialization themes.
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Anne Caron
Secretary -
Adeline Goullieux
Assistant director -
Mhand Hifi
Director -
Michèle Queneudec-T'Kint
Communications manager
7, rue du Moulin Neuf
80000 AMIENS
https://www.u-picardie.fr/eproad/
Effectif
Effectif total : 36
Personnel de recherche : 20
Personnel d'appui à la recherche : 3
Skills
The IMaP team brings together multiple skills around the design, optimization, analysis and modelling of new multi-materials (composites and dispersed systems) as well as their energy-efficient development and implementation processes.
The materials developed are designed to contribute to sustainable development, with the objectives of reducing energy consumption, manufacturing and service, recyclability and biodegradability, use of renewable resources (co-products of agro-industries) or secondary raw materials (ordinary industrial waste, post-consumer waste), proximity to resources, consideration of their transport and that of intermediate or finished products.
The IMaP team pays special attention to the product/process relationship and the product quality analysis. The team takes into account the control of the material from its development until its end of life.
As regards processes, the objectives, in addition to performance, take into account the limitation of emissions and energy consumption as well as industrial safety. The modelling approach makes it possible to secure the change of scale of the process towards an industrial installation and to limit experimental tests of feasibility sometimes long and costly.
Areas of investment in recent years include Special Concrete Engineering, Agroadjuvants, Agropolymers and 100% Biosourced Agrocomposites.
2. Operational Research and Decision
The scientific research of the ROD team is based on mathematical modelling and the proposal of new methods of optimal and approachable resolutions. Modelling includes logic modeling and constraint programming.
The issues considered by the team are mainly problems arising from IT, telecommunications, logistics, health and materials.
The other aspects dealt with by the team concern the contribution of distributed systems, which will make it possible to reinforce the necessary reactivity of the systems studied, on the other hand, the ongoing development of quantum algorithms allowing for very large reductions in usual computational times.
The (sub)themes addressed are:
• Discrete optimization:
- mathematical programming, constraint programming, logic programming,
- sequential resolution (optimal and approximated),
- parallel optimization,
- the polynomial approximation,
- the design of quantum algorithms.
• Robust decision and sensitivity:
- study of the sensitivity/stability of the optimum, re-optimisation, adaptive methods,
- robust models and optimisation,
- Big Data, e-learning,
- Data driven, deep learning and artificial intelligence techniques.
Example(s) of projects
The objective is to provide an online platform for scheduling door-to-door nursing visits. Its goal is to
proposed a tailored software able to reach an online black-box solution procedure achieving solutions with high quality.
Partners: Transept Informatique (leader), BPI and UPJV (EPROAD, scientific partner).
Budget: 35 k€
2. OSEO Paris project "TRANSEPT" (2012 - 2019)
The objective is to propose adaptive methods to deal with vehicle and routing problems, where
loading, unloading and scheduling are handled. The scientific work is based upon the reformulation of
certain problems which are then solved by applying local branching and variable neighborhood search.
Partners: Transept Informatique (leader) and UPJV (EPROAD, scientific partner).
Budget: 37.5 k€
3. lndustriLAB project "MIPSE - Design of HighPerformance Insulating Materials for Electrical
Systems" (2016-2019)
The objective is to provide manufacturers of electrical systems with high-performance insulating materials that offer improved thermal conductivity
while maintaining at least the same electrical insulation.
Partners: E. Bourgeois (project leader), ESIEE and UPJV (EPROAD and LPMC-UR UPJV scientific
partners).
Budget: 180 k€
4. RAPID-DGA project "FEREC - Reliability of Charged Coating" (2018- 2020)
The objective is to optimize formulations of conductive epoxy-type thermosetting resins, with
the aim of improving their coating characteristics for industrial-scale coating (manufacture of prepreg
rolls)
Partners: E. Bourgeois (project leader) and UPJV (EPROAD, scientific partner).
Budget: 127.4 k€ (UPJV)
Example(s) of publications
2. Hifi, M., Sadeghsa, S. (2022) A rounding strategy-based algorithm for the k-clustering minimum biclique completion problem, Journal of the Operational Research Society. 🡭
3. Goullieux, A., Hifi, M., Sadeghsa, S. (2022). Mathematical Model and Its Optimization to Predict the Parameters of Compressive Strength Test. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. WCO 2020. Studies in Computational Intelligence, vol 986. Springer, Cham. 🡭
4. Al-Mohamadawi, A., Benhabib, K., Dheilly, RM., Goullieux, A. (2020). Hygric Behavior of Cement Composites Elaborated with Flax Shives, a Byproduct of the Linen Industry. Waste Biomass Valor 11, 5053–5066. 🡭
5. Belhadj, B., Bederina, M., Dheilly, R.M., Mboumba-Mamboundou, L.B. M. Quéneudec, M. (2020). Evaluation of the thermal performance parameters of an outside wall made from lignocellulosic sand concrete and barley straws in hot and dry climatic zones, Energy and Buildings, 225, 110348. 🡭
All publications can be found here : 🡭
Collaborations/Partners/Scientific clients
International : Universités de Laghouat, d’Annaba et de Mostaganem (Algérie), Université des Sciences et de la Technologie Houari Boumediene (Algérie), Ecole Nationale Polytechnique d’Alger (Algérie), École Nationale Supérieure d'Enseignement Technologique (ENSET) d’Oran, Université de Sfax et Université de Brighton (Royaume-Uni)
Collaborations/Partners/Private Clients
Applications sectors
- IT / software
- Networks / Telecom
- Construction / Architecture / Urban planning / Real Estate
- Transportation / Logistics
- Education / Training
- Chemistry / Plastics (Glue, Plastic, Rubber...)
- Materials (Metal, Glass, Ceramic, Composite...)
- Science / Research
Services provided
Training offers
Consulting services
Affiliated institutions / organisations
Groups/Networks/Federations
Doctoral schools
Competitive cluster
Regional strategic areas of activity
- Bioeconomy
- Biobased chemistry
- Biobased materials
- Chemistry and Materials
- Industrial processes engineering, efficient processes
- Digital World and Robotics
- Artificial intelligence, image processing, data science
- Engineering, software design, open source software
- Internet of things, cloud computing and big data
- Telecom, networks, photonics
- Energy and Environment
- Circular economy
- Efficient and sustainable buildings (eco-construction, eco-renovation)
- Societal and economic transition & Risk management
- New economic models
- Resilience, risk factors and fragility